From b36cf2c7f6f060d35c5c4c6ad6daae9e4e255631 Mon Sep 17 00:00:00 2001 From: Divided by Zer0 Date: Wed, 27 Dec 2023 17:28:36 +0100 Subject: [PATCH] feat: allows multiple lora versions (#127) * ci: fix: don't ignore last_use during ci * adds file lora db reload from file * add is_version to the LORA_SCHEMA * ci: fix: do full `pre-commit --all-files` on tox runs * fix: support native multiproc locks for file IO; lock files for TI too * ci: fix: don't set `SDXL` model ref. branch in tox * style: fix --------- Co-authored-by: tazlin --- hordelib/horde.py | 49 +- hordelib/model_manager/base.py | 4 + hordelib/model_manager/codeformer.py | 3 +- hordelib/model_manager/compvis.py | 2 + hordelib/model_manager/controlnet.py | 7 +- hordelib/model_manager/diffusers.py | 7 +- hordelib/model_manager/esrgan.py | 7 +- hordelib/model_manager/gfpgan.py | 7 +- hordelib/model_manager/hyper.py | 8 +- hordelib/model_manager/lora.py | 636 ++++++++++++++++------- hordelib/model_manager/safety_checker.py | 7 +- hordelib/model_manager/ti.py | 25 +- hordelib/shared_model_manager.py | 8 +- hordelib/utils/sanitizer.py | 3 +- images_expected/lora_version_adhoc.png | Bin 0 -> 366589 bytes requirements.txt | 2 +- tests/model_managers/test_mm_lora.py | 31 +- tests/test_horde_lora.py | 44 +- tox.ini | 5 +- 19 files changed, 630 insertions(+), 225 deletions(-) create mode 100644 images_expected/lora_version_adhoc.png diff --git a/hordelib/horde.py b/hordelib/horde.py index ae472f00..f15f089c 100644 --- a/hordelib/horde.py +++ b/hordelib/horde.py @@ -153,6 +153,7 @@ class HordeLib: "model": {"datatype": float, "min": -10.0, "max": 10.0, "default": 1.0}, "clip": {"datatype": float, "min": -10.0, "max": 10.0, "default": 1.0}, "inject_trigger": {"datatype": str}, + "is_version": {"datatype": bool}, } TIS_SCHEMA = { @@ -459,10 +460,17 @@ def _final_pipeline_adjustments(self, payload, pipeline_data): valid_loras = [] for lora in payload.get("loras"): # Determine the actual lora filename - if not SharedModelManager.manager.lora.is_model_available(str(lora["name"])): + is_version: bool = lora.get("is_version", False) + verstext = "" + if is_version: + verstext = " version" + if not SharedModelManager.manager.lora.is_lora_available(str(lora["name"]), is_version=is_version): logger.debug(f"Adhoc lora requested '{lora['name']}' not yet downloaded. Downloading...") try: - adhoc_lora = SharedModelManager.manager.lora.fetch_adhoc_lora(str(lora["name"])) + adhoc_lora = SharedModelManager.manager.lora.fetch_adhoc_lora( + str(lora["name"]), + is_version=is_version, + ) except Exception as e: logger.info(f"Error fetching adhoc lora {lora['name']}: ({type(e).__name__}) {e}") faults.append( @@ -474,7 +482,10 @@ def _final_pipeline_adjustments(self, payload, pipeline_data): ) adhoc_lora = None if not adhoc_lora: - logger.info(f"Adhoc lora requested '{lora['name']}' could not be found in CivitAI. Ignoring!") + logger.info( + f"Adhoc lora requested{verstext} '{lora['name']} " + "could not be found in CivitAI. Ignoring!", + ) faults.append( GenMetadataEntry( type=METADATA_TYPE.lora, @@ -484,15 +495,25 @@ def _final_pipeline_adjustments(self, payload, pipeline_data): ) continue # We store the actual lora name to search for the trigger - lora_name = SharedModelManager.manager.lora.get_lora_name(str(lora["name"])) + # If a version is requested, the lora name we need is the exact version + if is_version: + lora_name = str(lora["name"]) + else: + lora_name = SharedModelManager.manager.lora.get_lora_name(str(lora["name"])) if lora_name: - logger.debug(f"Found valid lora {lora_name}") + logger.debug(f"Found valid lora{verstext} {lora_name}") if SharedModelManager.manager.compvis is None: raise RuntimeError("Cannot use LORAs without a compvis loaded!") model_details = SharedModelManager.manager.compvis.get_model_reference_info(payload["model"]) # If the lora and model do not match baseline, we ignore the lora - if not SharedModelManager.manager.lora.do_baselines_match(lora_name, model_details): - logger.info(f"Skipped lora {lora_name} because its baseline does not match the model's") + if not SharedModelManager.manager.lora.do_baselines_match( + lora_name, + model_details, + is_version=is_version, + ): + logger.info( + f"Skipped lora{verstext} {lora_name} because its baseline does not match the model's", + ) faults.append( GenMetadataEntry( type=METADATA_TYPE.lora, @@ -504,21 +525,25 @@ def _final_pipeline_adjustments(self, payload, pipeline_data): trigger_inject = lora.get("inject_trigger") trigger = None if trigger_inject == "any": - triggers = SharedModelManager.manager.lora.get_lora_triggers(lora_name) + triggers = SharedModelManager.manager.lora.get_lora_triggers(lora_name, is_version=is_version) if triggers: trigger = random.choice(triggers) elif trigger_inject == "all": - triggers = SharedModelManager.manager.lora.get_lora_triggers(lora_name) + triggers = SharedModelManager.manager.lora.get_lora_triggers(lora_name, is_version=is_version) if triggers: trigger = ", ".join(triggers) elif trigger_inject is not None: - trigger = SharedModelManager.manager.lora.find_lora_trigger(lora_name, trigger_inject) + trigger = SharedModelManager.manager.lora.find_lora_trigger( + lora_name, + trigger_inject, + is_version, + ) if trigger: # We inject at the start, to avoid throwing it in a negative prompt payload["prompt"] = f'{trigger}, {payload["prompt"]}' # the fixed up and validated filename (Comfy expect the "name" key to be the filename) - lora["name"] = SharedModelManager.manager.lora.get_lora_filename(lora_name) - SharedModelManager.manager.lora._touch_lora(lora_name) + lora["name"] = SharedModelManager.manager.lora.get_lora_filename(lora_name, is_version=is_version) + SharedModelManager.manager.lora._touch_lora(lora_name, is_version=is_version) valid_loras.append(lora) payload["loras"] = valid_loras for lora_index, lora in enumerate(payload.get("loras")): diff --git a/hordelib/model_manager/base.py b/hordelib/model_manager/base.py index 1cc968bb..2a5c626c 100644 --- a/hordelib/model_manager/base.py +++ b/hordelib/model_manager/base.py @@ -54,6 +54,7 @@ def __init__( download_reference: bool = False, model_category_name: MODEL_CATEGORY_NAMES = MODEL_CATEGORY_NAMES.default_models, models_db_path: Path | None = None, + **kwargs, ): """Create a new instance of this model manager. @@ -62,6 +63,9 @@ def __init__( download_reference (bool, optional): Get the model DB from github. Defaults to False. """ + if len(kwargs) > 0: + logger.debug(f"Unused kwargs in {type(self)}: {kwargs}") + self.model_folder_path = UserSettings.get_model_directory() / f"{MODEL_FOLDER_NAMES[model_category_name]}" os.makedirs(self.model_folder_path, exist_ok=True) diff --git a/hordelib/model_manager/codeformer.py b/hordelib/model_manager/codeformer.py index 38874a0c..52ef8309 100644 --- a/hordelib/model_manager/codeformer.py +++ b/hordelib/model_manager/codeformer.py @@ -3,8 +3,9 @@ class CodeFormerModelManager(BaseModelManager): - def __init__(self, download_reference=False): + def __init__(self, download_reference=False, **kwargs): super().__init__( model_category_name=MODEL_CATEGORY_NAMES.codeformer, download_reference=download_reference, + **kwargs, ) diff --git a/hordelib/model_manager/compvis.py b/hordelib/model_manager/compvis.py index bfbcfa8c..fca1bcf0 100644 --- a/hordelib/model_manager/compvis.py +++ b/hordelib/model_manager/compvis.py @@ -6,9 +6,11 @@ class CompVisModelManager(BaseModelManager): def __init__( self, download_reference=False, + **kwargs, # custom_path="models/custom", # XXX Remove this and any others like it? ): super().__init__( model_category_name=MODEL_CATEGORY_NAMES.compvis, download_reference=download_reference, + **kwargs, ) diff --git a/hordelib/model_manager/controlnet.py b/hordelib/model_manager/controlnet.py index cfbdc0f6..47bc8d7e 100644 --- a/hordelib/model_manager/controlnet.py +++ b/hordelib/model_manager/controlnet.py @@ -19,10 +19,15 @@ class CONTROLNET_BASELINE_NAMES(StrEnum): # XXX # TODO Move this to consts.py class ControlNetModelManager(BaseModelManager): - def __init__(self, download_reference=False): + def __init__( + self, + download_reference=False, + **kwargs, + ): super().__init__( model_category_name=MODEL_CATEGORY_NAMES.controlnet, download_reference=download_reference, + **kwargs, ) def download_control_type( diff --git a/hordelib/model_manager/diffusers.py b/hordelib/model_manager/diffusers.py index aaca1b71..d1e24007 100644 --- a/hordelib/model_manager/diffusers.py +++ b/hordelib/model_manager/diffusers.py @@ -3,10 +3,15 @@ class DiffusersModelManager(BaseModelManager): - def __init__(self, download_reference=False): + def __init__( + self, + download_reference=False, + **kwargs, + ): raise NotImplementedError("Diffusers are not yet supported") super().__init__( model_category_name=MODEL_CATEGORY_NAMES.diffusers, download_reference=download_reference, + **kwargs, ) diff --git a/hordelib/model_manager/esrgan.py b/hordelib/model_manager/esrgan.py index 4aae9f58..091d21a4 100644 --- a/hordelib/model_manager/esrgan.py +++ b/hordelib/model_manager/esrgan.py @@ -3,8 +3,13 @@ class EsrganModelManager(BaseModelManager): - def __init__(self, download_reference=False): + def __init__( + self, + download_reference=False, + **kwargs, + ): super().__init__( model_category_name=MODEL_CATEGORY_NAMES.esrgan, download_reference=download_reference, + **kwargs, ) diff --git a/hordelib/model_manager/gfpgan.py b/hordelib/model_manager/gfpgan.py index e24ff7a0..edabc305 100644 --- a/hordelib/model_manager/gfpgan.py +++ b/hordelib/model_manager/gfpgan.py @@ -3,8 +3,13 @@ class GfpganModelManager(BaseModelManager): - def __init__(self, download_reference=False): + def __init__( + self, + download_reference=False, + **kwargs, + ): super().__init__( model_category_name=MODEL_CATEGORY_NAMES.gfpgan, download_reference=download_reference, + **kwargs, ) diff --git a/hordelib/model_manager/hyper.py b/hordelib/model_manager/hyper.py index 94279b67..e33c02ba 100644 --- a/hordelib/model_manager/hyper.py +++ b/hordelib/model_manager/hyper.py @@ -1,6 +1,7 @@ """Home for the controller class ModelManager, and related meta information.""" import threading from collections.abc import Callable, Iterable +from multiprocessing.synchronize import Lock as multiprocessing_lock import torch from loguru import logger @@ -155,6 +156,7 @@ def __init__( def init_model_managers( self, managers_to_load: Iterable[str | MODEL_CATEGORY_NAMES | type[BaseModelManager]], + multiprocessing_lock: multiprocessing_lock | None = None, ) -> None: for manager_to_load in managers_to_load: resolve_manager_to_load_type: type[BaseModelManager] | None = None @@ -174,7 +176,11 @@ def init_model_managers( f"Attempted to load a model manager which is already loaded: '{resolve_manager_to_load_type}'.", ) continue - self.active_model_managers.append(resolve_manager_to_load_type()) + self.active_model_managers.append( + resolve_manager_to_load_type( + multiprocessing_lock=multiprocessing_lock, + ), + ) def unload_model_managers( self, diff --git a/hordelib/model_manager/lora.py b/hordelib/model_manager/lora.py index d472fb21..670e7875 100644 --- a/hordelib/model_manager/lora.py +++ b/hordelib/model_manager/lora.py @@ -7,8 +7,11 @@ import threading import time from collections import deque +from contextlib import nullcontext from datetime import datetime, timedelta from enum import auto +from multiprocessing.synchronize import Lock as multiprocessing_lock +from pathlib import Path import requests from fuzzywuzzy import fuzz @@ -35,6 +38,9 @@ class DOWNLOAD_SIZE_CHECK(StrEnum): class LoraModelManager(BaseModelManager): LORA_DEFAULTS = "https://raw.githubusercontent.com/Haidra-Org/AI-Horde-image-model-reference/main/lora.json" + LORA_VERSIONS_DEFAULTS = ( + "https://raw.githubusercontent.com/Haidra-Org/AI-Horde-image-model-reference/main/lora_versions.json" + ) LORA_API = "https://civitai.com/api/v1/models?types=LORA&sort=Highest%20Rated&primaryFileOnly=true" MAX_RETRIES = 10 if not TESTS_ONGOING else 3 MAX_DOWNLOAD_THREADS = 3 @@ -47,12 +53,15 @@ class LoraModelManager(BaseModelManager): THREAD_WAIT_TIME = 2 """The time to wait between checking the download queue in seconds""" + _file_lock: multiprocessing_lock | nullcontext + def __init__( self, download_reference=False, allowed_top_lora_storage=10240 if not TESTS_ONGOING else 1024, allowed_adhoc_lora_storage=AIWORKER_LORA_CACHE_SIZE_DEFAULT, download_wait=False, + multiprocessing_lock: multiprocessing_lock | None = None, ): self.max_adhoc_disk = allowed_adhoc_lora_storage try: @@ -68,22 +77,27 @@ def __init__( self._data = None self._next_page_url = None self._mutex = threading.Lock() + self._file_mutex = threading.Lock() + self._download_mutex = threading.Lock() + self._file_lock = multiprocessing_lock or nullcontext() + self._adhoc_loras_savefile: Path self._file_count = 0 - self._download_threads = {} - self._download_queue = deque() + self._download_threads = {} # type: ignore # FIXME: add type + self._download_queue = deque() # type: ignore # FIXME: add type self._thread = None self.stop_downloading = True # Not yet handled, as we need a global reference to search through. - self._previous_model_reference = {} - self._adhoc_loras = set() + self._previous_model_reference = {} # type: ignore # FIXME: add type + self._adhoc_loras = set() # type: ignore # FIXME: add type self._download_wait = download_wait # If false, this MM will only download SFW loras self.nsfw = True self._adhoc_reset_thread = None self._stop_all_threads = False - self._index_ids = {} - self._index_orig_names = {} + self._index_ids = {} # type: ignore # FIXME: add type + self._index_version_ids = {} # type: ignore # FIXME: add type + self._index_orig_names = {} # type: ignore # FIXME: add type self.total_retries_attempted = 0 models_db_path = LEGACY_REFERENCE_FOLDER.joinpath("lora.json").resolve() @@ -106,6 +120,7 @@ def load_model_database(self) -> None: ) logger.info("Reloading model reference...") + self._adhoc_loras_savefile = Path(f"{os.path.splitext(self.models_db_path)[0]}_adhoc.json") if self.download_reference: os.makedirs(self.model_folder_path, exist_ok=True) self.download_model_reference() @@ -113,13 +128,64 @@ def load_model_database(self) -> None: else: if self.models_db_path.exists(): try: - self.model_reference = json.loads((self.models_db_path).read_text()) - - for lora in self.model_reference.values(): - self._index_ids[lora["id"]] = lora["name"].lower() + with self._file_mutex, self._file_lock: + self.model_reference = json.loads((self.models_db_path).read_text()) + new_model_reference = {} + for old_lora_key in self.model_reference.keys(): + lora = self.model_reference[old_lora_key] + # If for some reasons the file for that lora doesn't exist, we ignore it. + if "versions" not in lora: + filepath = os.path.join(self.model_folder_path, lora["filename"]) + if not Path(f"{filepath}").exists(): + logger.debug(filepath) + continue + lora_key = Sanitizer.sanitise_model_name(lora["orig_name"]).lower().strip() + lora_filename = f'{Sanitizer.sanitise_filename(lora["orig_name"])}_{lora["version_id"]}' + version = { + "filename": f"{lora_filename}.safetensors", + "sha256": lora["sha256"], + "adhoc": lora.get("adhoc"), + "size_mb": lora["size_mb"], + "url": lora["url"], + "triggers": lora["triggers"], + "baseModel": lora["baseModel"], + "version_id": self.ensure_is_version(lora["version_id"]), + "lora_key": lora_key, + } + old_filename = os.path.join(self.model_folder_path, lora["filename"]) + new_filename = os.path.join(self.model_folder_path, version["filename"]) + logger.warning( + f"Old LoRa format detected for {lora_key}. Converting format and renaming files: " + f"{old_filename} -> {new_filename}", + ) + if os.path.exists(new_filename): + logger.warning( + f"New filename {new_filename} already exists. " + "This shouldn't happen. Skipping...", + ) + continue + + os.rename(old_filename, new_filename) + old_hashfile = f"{os.path.splitext(old_filename)[0]}.sha256" + new_hashfile = f"{os.path.splitext(new_filename)[0]}.sha256" + os.rename(old_hashfile, new_hashfile) + new_lora_entry = { + "name": lora_key, + "orig_name": lora["orig_name"], + "id": lora["id"], + "nsfw": lora["nsfw"], + "versions": {self.ensure_is_version(lora["version_id"]): version}, + } + new_model_reference[lora_key] = new_lora_entry + else: + new_model_reference[old_lora_key] = lora + for lora in new_model_reference.values(): + self._index_ids[lora["id"]] = lora["name"] orig_name = lora.get("orig_name", lora["name"]).lower() - self._index_orig_names[orig_name] = lora["name"].lower() - + self._index_orig_names[orig_name] = lora["name"] + for version_id in lora["versions"]: + self._index_version_ids[version_id] = lora["name"] + self.model_reference = new_model_reference logger.info("Loaded model reference from disk.") except json.JSONDecodeError: logger.error(f"Could not load {self.models_db_name} model reference from disk! Bad JSON?") @@ -127,7 +193,7 @@ def load_model_database(self) -> None: else: logger.error(f"Could not load {self.models_db_name} model reference from disk! File not found.") self.model_reference = {} - + self.save_cached_reference_to_disk() logger.info( (f"Got {len(self.model_reference)} models for {self.models_db_name}.",), ) @@ -149,20 +215,34 @@ def _get_lora_defaults(self): logger.error(f"_get_lora_defaults() raised {err}") raise err - def _add_lora_ids_to_download_queue(self, lora_ids, adhoc=False, version_compare=None): - idsq = "&ids=".join([str(id) for id in lora_ids]) - url = f"https://civitai.com/api/v1/models?limit=100&ids={idsq}" - data = self._get_json(url) - if not data: - logger.warning(f"metadata for LoRa {lora_ids} could not be downloaded!") - return - for lora_data in data.get("items", []): + def _add_lora_ids_to_download_queue(self, lora_ids, adhoc=False, version_compare=None, id_type="lora"): + if id_type == "version": + # CivitAI doesn't support fetching multiple versions from the same API call, so we have to loop + for version_id in lora_ids: + model_items = [] + if isinstance(version_id, str) and not version_id.isdigit: + logger.warning(f"Non-integer lora model version sent: {version_id}. Ignoring...") + url = f"https://civitai.com/api/v1/model-versions/{version_id}" + data = self._get_json(url) + if not data: + logger.warning(f"metadata for LoRa {lora_ids} could not be downloaded!") + return + model_items.append(data) + else: + idsq = "&ids=".join([str(id) for id in lora_ids]) + url = f"https://civitai.com/api/v1/models?limit=100&ids={idsq}" + data = self._get_json(url) + if not data: + logger.warning(f"metadata for LoRa {lora_ids} could not be downloaded!") + return + model_items = data.get("items", []) + for lora_data in model_items: lora = self._parse_civitai_lora_data(lora_data, adhoc=adhoc) # If we're comparing versions, then we don't download if the existing lora metadata matches # Instead we just refresh metadata information if not lora: continue - if version_compare and lora["version_id"] == version_compare: + if version_compare and self.find_latest_version(lora) == version_compare: logger.debug( f"Downloaded metadata for LoRa {lora['name']} " f"('{lora['name']}') and found version match! Refreshing metadata.", @@ -228,59 +308,83 @@ def _parse_civitai_lora_data(self, item, adhoc=False): lora = { "name": "", "orig_name": "", - "sha256": "", - "filename": "", "id": "", - "url": "", - "triggers": [], - "size_mb": 0, - "adhoc": adhoc, "nsfw": False, + "versions": {}, } - # get top version - try: - version = item.get("modelVersions", {})[0] - except IndexError: - version = {} + # This means it's a model version, not a full model + if "modelId" in item: + version = item + lora_id = item["modelId"] + # If we've seen this lora before, we avoid redownloading its info + if lora_id in self._index_ids: + lora_data = self.model_reference[self._index_ids[lora_id]] + else: + lora_data = self._get_json(f"https://civitai.com/api/v1/models/{lora_id}") + if lora_data is None: + logger.debug(f"Rejecting LoRa version {lora_id} because we can't retrieve it's model data") + return None + lora_name = lora_data.get("name", "") + lora_nsfw = lora_data.get("nsfw", True) + # If it's a full model, we only grab the first version in the list + else: + try: + version = item.get("modelVersions", {})[0] + except IndexError: + version = {} + lora_name = item.get("name", "") + lora_id = item.get("id", 0) + lora_nsfw = item.get("nsfw", True) + lora_version = self.ensure_is_version(version.get("id", 0)) # Get model triggers triggers = version.get("trainedWords", []) # get first file that is a primary file and a safetensor for file in version.get("files", {}): if file.get("primary", False) and file.get("name", "").endswith(".safetensors"): - lora["name"] = Sanitizer.sanitise_model_name(item.get("name", "")) - lora["orig_name"] = item.get("name", "") - lora["id"] = item.get("id", 0) - lora["filename"] = f'{Sanitizer.sanitise_filename(lora["name"])}.safetensors' - lora["sha256"] = file.get("hashes", {}).get("SHA256") + sanitized_name = Sanitizer.sanitise_model_name(lora_name) + lora_filename = f'{Sanitizer.sanitise_filename(lora_name)}_{version.get("id", 0)}' + lora_key = sanitized_name.lower().strip() + lora["name"] = lora_key + lora["orig_name"] = lora_name + lora["id"] = lora_id + lora["nsfw"] = lora_nsfw + lora["versions"] = {} + lora["versions"][lora_version] = {} + lora["versions"][lora_version]["filename"] = f"{lora_filename}.safetensors" + lora["versions"][lora_version]["sha256"] = file.get("hashes", {}).get("SHA256") + lora["versions"][lora_version]["adhoc"] = adhoc try: - lora["size_mb"] = round(file.get("sizeKB", 0) / 1024) + lora["versions"][lora_version]["size_mb"] = round(file.get("sizeKB", 0) / 1024) except TypeError: - lora["size_mb"] = 144 # guess common case of 144MB, it's not critical here - lora["url"] = file.get("downloadUrl", "") - lora["triggers"] = triggers - lora["nsfw"] = item.get("nsfw", True) - lora["baseModel"] = version.get("baseModel", "SD 1.5") - lora["version_id"] = version.get("id", 0) + lora["versions"][lora_version][ + "size_mb" + ] = 144 # guess common case of 144MB, it's not critical here + lora["versions"][lora_version]["url"] = file.get("downloadUrl", "") + lora["versions"][lora_version]["triggers"] = triggers + lora["versions"][lora_version]["baseModel"] = version.get("baseModel", "SD 1.5") + lora["versions"][lora_version]["version_id"] = self.ensure_is_version(version.get("id", 0)) + # To be able to refer back to the parent if needed + lora["versions"][lora_version]["lora_key"] = lora_key break # If we don't have everything required, fail - if lora["adhoc"] and not lora.get("sha256"): + if lora["versions"][lora_version]["adhoc"] and not lora["versions"][lora_version].get("sha256"): logger.debug(f"Rejecting LoRa {lora.get('name')} because it doesn't have a sha256") return None - if not lora.get("filename") or not lora.get("url"): + if not lora["versions"][lora_version].get("filename") or not lora["versions"][lora_version].get("url"): logger.debug(f"Rejecting LoRa {lora.get('name')} because it doesn't have a url") return None # We don't want to start downloading GBs of a single LoRa. # We just ignore anything over 150Mb. Them's the breaks... - if lora["adhoc"] and lora["size_mb"] > 220: - logger.debug(f"Rejecting LoRa {lora.get('name')} because its size is over 220Mb.") + if lora["versions"][lora_version]["adhoc"] and lora["versions"][lora_version]["size_mb"] > 220: + logger.debug(f"Rejecting LoRa {lora.get('name')} version {lora_version} because its size is over 220Mb.") return None - if lora["adhoc"] and lora["nsfw"] and not self.nsfw: + if lora["versions"][lora_version]["adhoc"] and lora["nsfw"] and not self.nsfw: logger.debug(f"Rejecting LoRa {lora.get('name')} because worker is SFW.") return None # Fixup A1111 centric triggers - for i, trigger in enumerate(lora["triggers"]): + for i, trigger in enumerate(lora["versions"][lora_version]["triggers"]): if re.match("", trigger): - lora["triggers"][i] = re.sub("", "\\1", trigger) + lora["versions"][lora_version]["triggers"][i] = re.sub("", "\\1", trigger) return lora def _download_thread(self, thread_number): @@ -298,15 +402,23 @@ def _download_thread(self, thread_number): self._download_threads[thread_number]["lora"] = lora except IndexError: # Nothing in the queue + # logger.debug(f"Lora download thread {thread_number} idle.") self._download_threads[thread_number]["lora"] = None time.sleep(self.THREAD_WAIT_TIME) continue # Download the lora retries = 0 + # Normally a lora in this method should only have one version specified + # So we can use this method to extract it. + version = self.find_latest_version(lora) + logger.debug(f"Starting download thread {thread_number} for lora {lora['orig_name']} version {version}.") + if version is None: + logger.warning("Lora without version sent to the download queue. This should never happen. Ignoring") + continue while retries <= self.MAX_RETRIES: try: # Just before we download this file, check if we already have it - filename = os.path.join(self.model_folder_path, lora["filename"]) + filename = os.path.join(self.model_folder_path, lora["versions"][version]["filename"]) hashfile = f"{os.path.splitext(filename)[0]}.sha256" if os.path.exists(filename) and os.path.exists(hashfile): # Check the hash @@ -315,32 +427,34 @@ def _download_thread(self, thread_number): hashdata = infile.read().split()[0] except (IndexError, OSError, PermissionError): hashdata = "" - if not lora.get("sha256") or hashdata.lower() == lora["sha256"].lower(): + if ( + not lora["versions"][version].get("sha256") + or hashdata.lower() == lora["versions"][version]["sha256"].lower() + ): # we already have this lora, consider it downloaded # the SHA256 might not exist when the lora has been selected in the curation list # Where we allow them to skip it - if not lora.get("sha256"): + if not lora["versions"][version].get("sha256"): logger.debug( - f"Already have LORA {lora['filename']}. " + f"Already have LORA {lora['versions'][version]['filename']}. " "Bypassing SHA256 check as there's none stored", ) # else: # logger.debug(f"Already have LORA {lora['filename']}") - with self._mutex: - # We store as lower to allow case-insensitive search - lora["last_checked"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") - self._add_lora_to_reference(lora) - if self.is_default_cache_full(): - self.stop_downloading = True - self.save_cached_reference_to_disk() + # We store as lower to allow case-insensitive search + lora["last_checked"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + self._add_lora_to_reference(lora) + if self.is_default_cache_full(): + self.stop_downloading = True + self.save_cached_reference_to_disk() break - logger.info(f"Starting download of LORA {lora['filename']}") - response = requests.get(lora["url"], timeout=self.REQUEST_DOWNLOAD_TIMEOUT) + logger.info(f"Starting download of LORA {lora['versions'][version]['filename']}") + response = requests.get(lora["versions"][version]["url"], timeout=self.REQUEST_DOWNLOAD_TIMEOUT) response.raise_for_status() if "reason=download-auth" in response.url: logger.error( - f"Error downloading {lora['filename']}. " + f"Error downloading {lora['versions'][version]['filename']}. " "CivitAI appears to be redirecting us to a login page. Aborting", ) break @@ -348,40 +462,47 @@ def _download_thread(self, thread_number): hash_object = hashlib.sha256() hash_object.update(response.content) sha256 = hash_object.hexdigest() - if not lora.get("sha256") or sha256.lower() == lora["sha256"].lower(): + if not lora.get("sha256") or sha256.lower() == lora["versions"][version]["sha256"].lower(): # wow, we actually got a valid file, save it with open(filename, "wb") as outfile: outfile.write(response.content) # Save the hash file with open(hashfile, "w") as outfile: - outfile.write(f"{sha256} *{lora['filename']}") - + outfile.write(f"{sha256} *{lora['versions'][version]['filename']}") # Shout about it - logger.info(f"Downloaded LORA {lora['filename']} ({lora['size_mb']} MB)") + logger.info( + f"Downloaded LORA {lora['versions'][version]['filename']} " + f"({lora['versions'][version]['size_mb']} MB)", + ) # Maybe we're done - with self._mutex: - # We store as lower to allow case-insensitive search - lora["last_used"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") - lora["last_checked"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") - self._add_lora_to_reference(lora) - if self.is_adhoc_cache_full(): - self.delete_oldest_lora() - self.save_cached_reference_to_disk() + # We store as lower to allow case-insensitive search + lora["versions"][version]["last_used"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + lora["last_checked"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + self._add_lora_to_reference(lora) + if self.is_adhoc_cache_full(): + self.delete_oldest_lora() + self.save_cached_reference_to_disk() break # We will retry logger.debug( - f"Downloaded LORA file for {lora['filename']} didn't match hash. " + f"Downloaded LORA file for {lora['versions'][version]['filename']} didn't match hash. " f"Retry {retries}/{self.MAX_RETRIES}", ) except (requests.HTTPError, requests.ConnectionError, requests.Timeout, json.JSONDecodeError) as e: # We will retry - logger.debug(f"Error downloading {lora['filename']} {e}. Retry {retries}/{self.MAX_RETRIES}") + logger.debug( + f"Error downloading {lora['versions'][version]['filename']} {e}. " + f"Retry {retries}/{self.MAX_RETRIES}", + ) except Exception as e: # Failed badly, ignore and retry - logger.debug(f"Fatal error downloading {lora['filename']} {e}. Retry {retries}/{self.MAX_RETRIES}") + logger.debug( + f"Fatal error downloading {lora['versions'][version]['filename']} {e}. " + f"Retry {retries}/{self.MAX_RETRIES}", + ) retries += 1 self.total_retries_attempted += 1 @@ -391,7 +512,7 @@ def _download_thread(self, thread_number): time.sleep(self.RETRY_DELAY) def _download_lora(self, lora): - with self._mutex: + with self._download_mutex: # Start download threads if they aren't already started while len(self._download_threads) < self.MAX_DOWNLOAD_THREADS: thread_iter = len(self._download_threads) @@ -435,15 +556,51 @@ def _start_processing(self): self._process_items() def _add_lora_to_reference(self, lora): - lora_key = lora["name"].lower().strip() - if lora.get("adhoc", False): - self._adhoc_loras.add(lora_key) - # Once added to our set, we don't need to specify it was adhoc anymore - del lora["adhoc"] - self.model_reference[lora_key] = lora - self._index_ids[lora["id"]] = lora_key - orig_name = lora.get("orig_name", lora["name"]).lower() - self._index_orig_names[orig_name] = lora_key + # We don't want other threads trying to write on the reference while we're reloading it + with self._mutex: + self.reload_reference_from_disk() + lora_key = lora["name"] + if lora.get("adhoc", False): + self._adhoc_loras.add(lora_key) + # Once added to our set, we don't need to specify it was adhoc anymore + del lora["adhoc"] + # A lora coming to add to our reference should only have 1 version + # we do the version merge in this function + # We convert the lora version to string when using it as key + # To avoid converting the lora_name to int every time later + new_lora_version = self.ensure_is_version(list(lora["versions"].keys())[0]) + if lora_key not in self.model_reference: + self.model_reference[lora_key] = lora + else: + # If we already know of one version of this lora, we simply add the extra version to our versions + if new_lora_version not in self.model_reference[lora_key]["versions"]: + self.model_reference[lora_key]["versions"][new_lora_version] = lora["versions"][new_lora_version] + self._index_ids[lora["id"]] = lora_key + self._index_version_ids[new_lora_version] = lora_key + orig_name = lora.get("orig_name", lora["name"]).lower() + self._index_orig_names[orig_name] = lora_key + + def reload_reference_from_disk(self): + with self._file_mutex, self._file_lock: + reloaded_model_reference: dict = json.loads((self.models_db_path).read_text()) + if self.models_db_path.exists(): + reloaded_adhoc_loras = set(json.loads((self._adhoc_loras_savefile).read_text())) + else: + reloaded_adhoc_loras = set() + reloaded_index_ids = {} + reloaded_index_orig_names = {} + reloaded_index_version_ids = {} + for lora in self.model_reference.values(): + reloaded_index_ids[lora["id"]] = lora["name"] + orig_name = lora.get("orig_name", lora["name"]).lower() + reloaded_index_orig_names[orig_name] = lora["name"] + for version in lora["versions"]: + reloaded_index_version_ids[version] = lora["name"] + self.model_reference = reloaded_model_reference + self._adhoc_loras = reloaded_adhoc_loras + self._index_ids = reloaded_index_ids + self._index_orig_names = reloaded_index_orig_names + self._index_version_ids = reloaded_index_version_ids def download_default_loras(self, nsfw=True, timeout=None): """Start up a background thread downloading and return immediately""" @@ -453,7 +610,7 @@ def download_default_loras(self, nsfw=True, timeout=None): self.nsfw = nsfw self._previous_model_reference = copy.deepcopy(self.model_reference) # TODO: Avoid clearing this out, until we know CivitAI is not dead. - self.model_reference = {} + self.clear_all_references() os.makedirs(self.model_folder_path, exist_ok=True) # Start processing in a background thread self._thread = threading.Thread(target=self._get_lora_defaults, daemon=True) @@ -465,6 +622,12 @@ def download_default_loras(self, nsfw=True, timeout=None): self._adhoc_reset_thread = threading.Thread(target=self.reset_adhoc_loras, daemon=True) self._adhoc_reset_thread.start() + def clear_all_references(self): + self.model_reference = {} + self._index_ids = {} + self._index_version_ids = {} + self._index_orig_names = {} + def wait_for_downloads(self, timeout=None): rtr = 0 while not self.are_downloads_complete(): @@ -472,6 +635,7 @@ def wait_for_downloads(self, timeout=None): rtr += 0.5 if timeout and rtr > timeout: raise Exception(f"Lora downloads exceeded specified timeout ({timeout})") + logger.debug("Downloads complete") def are_downloads_complete(self): # If we don't have any models in our reference, then we haven't downloaded anything @@ -491,77 +655,110 @@ def are_download_threads_idle(self): return False return True - def fuzzy_find_lora_key(self, lora_name): + def find_lora_key_by_version(self, lora_version: int | str) -> str | None: + version = self.ensure_is_version(lora_version) + if version in self._index_version_ids: + return self._index_version_ids[version] + return None + + def ensure_is_version(self, lora_version: int | str) -> str | None: + """The version has to be a string, as json keys can only be strings""" + if not isinstance(lora_version, str): + if not isinstance(lora_version, int): + return None + return str(lora_version) + + def fuzzy_find_lora_key(self, lora_name: int | str): # sname = Sanitizer.remove_version(lora_name).lower() logger.debug(f"Looking for lora {lora_name}") if isinstance(lora_name, int) or lora_name.isdigit(): if int(lora_name) in self._index_ids: return self._index_ids[int(lora_name)] return None - sname = lora_name.lower().strip() - if sname in self.model_reference: - return sname - if sname in self._index_orig_names: - return self._index_orig_names[sname] - if Sanitizer.has_unicode(sname): + if lora_name in self.model_reference: + return lora_name + if lora_name in self._index_orig_names: + return self._index_orig_names[lora_name] + if Sanitizer.has_unicode(lora_name): for lora in self._index_orig_names: - if sname in lora: + if lora_name in lora: return self._index_orig_names[lora] # If a unicode name is not found in the orig_names index # it won't be found anywhere else, as unicode chars are converted to ascii in the keys # This saves us time doing unnecessary fuzzy searches return None for lora in self.model_reference: - if sname in lora: + if lora_name in lora: return lora for lora in self.model_reference: - if fuzz.ratio(sname, lora) > 80: + if fuzz.ratio(lora_name, lora) > 80: + return lora + if fuzz.ratio(lora_name, self.model_reference[lora]["orig_name"]) > 80: return lora return None # Using `get_model` instead of `get_lora` as it exists in the base class - def get_model_reference_info(self, model_name: str) -> dict | None: + def get_model_reference_info(self, model_name: str | int, is_version: bool = False) -> dict | None: """Returns the actual lora details dict for the specified model_name search string Returns None if lora name not found""" - lora_name = self.fuzzy_find_lora_key(model_name) - if not lora_name: - return None - return self.model_reference.get(lora_name) + with self._mutex: + if is_version: + lora_key = self.find_lora_key_by_version(model_name) + if lora_key is None: + return None + return self.model_reference[self.find_lora_key_by_version(model_name)] + lora_name = self.fuzzy_find_lora_key(model_name) + if not lora_name: + return None + return self.model_reference.get(lora_name) - def get_lora_filename(self, model_name: str): + def get_lora_filename(self, model_name: str, is_version: bool = False): """Returns the actual lora filename for the specified model_name search string Returns None if lora name not found""" - lora = self.get_model_reference_info(model_name) + lora = self.get_model_reference_info(model_name, is_version) if not lora: return None - return lora["filename"] + if is_version: + return lora["versions"][model_name]["filename"] + latest_version = self.get_latest_version(lora) + if latest_version is None: + return None + return latest_version["filename"] - def get_lora_name(self, model_name: str): + def get_lora_name(self, model_name: str, is_version: bool = False): """Returns the actual lora name for the specified model_name search string - Returns None if lora name not found""" - lora = self.get_model_reference_info(model_name) + Returns None if lora name not found + The lora name is effectively the key in the dictionary""" + lora = self.get_model_reference_info(model_name, is_version) if not lora: return None return lora["name"] - def get_lora_triggers(self, model_name: str): + def get_lora_triggers(self, model_name: str, is_version: bool = False): """Returns a list of triggers for a specified lora name Returns an empty list if no triggers are found Returns None if lora name not found""" - lora = self.get_model_reference_info(model_name) + lora = self.get_model_reference_info(model_name, is_version) if not lora: return None - triggers = lora.get("triggers") + if is_version: + triggers = lora["versions"][model_name].get("triggers") + else: + logger.debug(lora) + lora_version = self.get_latest_version(lora) + if lora_version is None: + return None + triggers = lora_version.get("triggers") if triggers: return triggers # We don't `return lora.get("triggers", [])`` to avoid the returned list object being modified # and then we keep returning previous items return [] - def find_lora_trigger(self, model_name: str, trigger_search: str): + def find_lora_trigger(self, model_name: str, trigger_search: str, is_version: bool = False): """Searches for a specific trigger for a specified lora name Returns None if string not found even with fuzzy search""" - triggers = self.get_lora_triggers(model_name) + triggers = self.get_lora_triggers(model_name, is_version) if triggers is None: return None if trigger_search.lower() in [trigger.lower() for trigger in triggers]: @@ -575,8 +772,11 @@ def find_lora_trigger(self, model_name: str, trigger_search: str): return None def save_cached_reference_to_disk(self): - with open(self.models_db_path, "w", encoding="utf-8", errors="ignore") as outfile: - outfile.write(json.dumps(self.model_reference.copy(), indent=4)) + with self._file_mutex, self._file_lock: + with open(self.models_db_path, "w", encoding="utf-8", errors="ignore") as outfile: + outfile.write(json.dumps(self.model_reference.copy(), indent=4)) + with open(self._adhoc_loras_savefile, "w", encoding="utf-8", errors="ignore") as outfile: + outfile.write(json.dumps(list(self._adhoc_loras), indent=4)) def calculate_downloaded_loras(self, mode=DOWNLOAD_SIZE_CHECK.everything): total_size = 0 @@ -585,7 +785,8 @@ def calculate_downloaded_loras(self, mode=DOWNLOAD_SIZE_CHECK.everything): continue if mode == DOWNLOAD_SIZE_CHECK.adhoc and lora not in self._adhoc_loras: continue - total_size += self.model_reference[lora]["size_mb"] + for version in self.model_reference[lora]["versions"]: + total_size += self.model_reference[lora]["versions"][version]["size_mb"] return total_size def calculate_default_loras_cache(self): @@ -610,36 +811,41 @@ def find_oldest_adhoc_lora(self) -> str | None: oldest_lora: str | None = None oldest_datetime: datetime | None = None for lora in self._adhoc_loras: - lora_datetime = datetime.strptime(self.model_reference[lora]["last_used"], "%Y-%m-%d %H:%M:%S") - if not oldest_lora: - oldest_lora = lora - oldest_datetime = lora_datetime - continue - if oldest_datetime and oldest_datetime > lora_datetime: - oldest_lora = lora - oldest_datetime = lora_datetime + for version in self.model_reference[lora]["versions"]: + lora_datetime = datetime.strptime( + self.model_reference[lora]["versions"][version]["last_used"], + "%Y-%m-%d %H:%M:%S", + ) + if not oldest_lora: + oldest_lora = version + oldest_datetime = lora_datetime + continue + if oldest_datetime and oldest_datetime > lora_datetime: + oldest_lora = version + oldest_datetime = lora_datetime return oldest_lora def delete_oldest_lora(self): - oldest_lora = self.find_oldest_adhoc_lora() - if not oldest_lora: + oldest_version = self.find_oldest_adhoc_lora() + if not oldest_version: return - self.delete_lora(oldest_lora) + self.delete_lora(oldest_version) def find_lora_from_filename(self, filename: str): for lora in self.model_reference: - if self.model_reference[lora]["filename"] == filename: - return lora + for version in self.model_reference[lora]["versions"]: + if self.model_reference[lora]["versions"][version]["filename"] == filename: + return lora return None def find_unused_loras(self): files = glob.glob(f"{self.model_folder_path}/*.safetensors") - filesnames = set() + filenames = set() for stfile in files: filename = os.path.basename(stfile) if not self.find_lora_from_filename(filename): - filesnames.add(filename) - return filesnames + filenames.add(filename) + return filenames def delete_unused_loras(self, timeout=0): """Deletes downloaded LoRas which do not appear in the model_reference @@ -662,25 +868,42 @@ def delete_lora_files(self, lora_filename: str): logger.warning(f"Could not find LoRa file on disk to delete: {filename}") return os.remove(filename) + hashfile = f"{os.path.splitext(filename)[0]}.sha256" + if not os.path.exists(hashfile): + os.remove(hashfile) logger.info(f"Deleted LoRa file: {filename}") - def delete_lora(self, lora_name: str): - lora_info = self.get_model_reference_info(lora_name) + def delete_lora(self, lora_version: str): + """Deletes the version passed. If not versions remains, forgets the lora""" + # We don't want other threads trying to write on the reference while we're reloading it + with self._mutex: + self.reload_reference_from_disk() + lora_info = self.get_model_reference_info(lora_version, is_version=True) if not lora_info: - logger.warning(f"Could not find lora {lora_name} to delete") + logger.warning(f"Could not find lora version {lora_version} to delete") return - self.delete_lora_files(lora_info["filename"]) - self._adhoc_loras.remove(lora_name) - del self._index_ids[lora_info["id"]] - del self._index_orig_names[lora_info["orig_name"].lower()] - del self.model_reference[lora_name] + lora_key = lora_info["name"] + self.delete_lora_files(lora_info["versions"][lora_version]["filename"]) + del self._index_version_ids[lora_version] + del lora_info["versions"][lora_version] + if len(lora_info["versions"]) == 0: + if lora_key in self._adhoc_loras: + self._adhoc_loras.remove(lora_key) + del self._index_ids[lora_info["id"]] + del self._index_orig_names[lora_info["orig_name"].lower()] + del self.model_reference[lora_key] self.save_cached_reference_to_disk() def ensure_lora_deleted(self, lora_name: str): + logger.debug(f"Ensuring {lora_name} is deleted") lora_key = self.fuzzy_find_lora_key(lora_name) if not lora_key: return - self.delete_lora(lora_key) + logger.debug(lora_key) + logger.debug(self.model_reference[lora_key]) + logger.debug(self.model_reference[lora_key]["versions"]) + for version in list(self.model_reference[lora_key]["versions"].keys()): + self.delete_lora(version) def reset_adhoc_loras(self): """Compared the known loras from the previous run to the current one @@ -692,35 +915,37 @@ def reset_adhoc_loras(self): time.sleep(0.2) now = datetime.now().strftime("%Y-%m-%d %H:%M:%S") self._adhoc_loras = set() + unsorted_items = [] sorted_items = [] + for plora_key, plora in self._previous_model_reference.items(): + for version in plora.get("versions", {}).values(): + unsorted_items.append((plora_key, version)) try: sorted_items = sorted( - self._previous_model_reference.items(), + unsorted_items, key=lambda x: x[1].get("last_used", now), reverse=True, ) except Exception as err: logger.error(err) while not self.is_adhoc_cache_full() and len(sorted_items) > 0: - prevlora_key, prevlora_value = sorted_items.pop() + prevlora_key, prevversion = sorted_items.pop() if prevlora_key in self.model_reference: continue # If False, it will initiates a redownload and call _add_lora_to_reference() later if self._check_for_refresh(prevlora_key): - self._add_lora_to_reference(prevlora_value) + if "last_used" not in prevversion: + prevversion["last_used"] = now + # We create a temp lora dict holding the just one version (the one we want to keep) + # The _add_lora_to_reference() will anyway merge versions if we keep more than 1 + temp_lora = self._previous_model_reference[prevlora_key].copy() + temp_lora["versions"] = {} + temp_lora["versions"][prevversion["version_id"]] = prevversion + self._add_lora_to_reference(temp_lora) self._adhoc_loras.add(prevlora_key) - for lora_key in self.model_reference: - if lora_key in self._previous_model_reference: - self.model_reference[lora_key]["last_used"] = self._previous_model_reference[lora_key].get( - "last_used", - now, - ) - # Final assurance that all our loras have a last_used timestamp - for lora in self.model_reference.values(): - if "last_used" not in lora: - lora["last_used"] = now self._previous_model_reference = {} self.save_cached_reference_to_disk() + logger.debug("Finished lora reset") def _check_for_refresh(self, lora_name: str): """Returns True if a refresh is needed @@ -733,7 +958,7 @@ def _check_for_refresh(self, lora_name: str): refresh = False if "last_checked" not in lora_details: refresh = True - elif "baseModel" not in lora_details: + elif "versions" not in lora_details: refresh = True else: lora_datetime = datetime.strptime(lora_details["last_checked"], "%Y-%m-%d %H:%M:%S") @@ -741,7 +966,7 @@ def _check_for_refresh(self, lora_name: str): refresh = True if refresh: logger.debug(f"Lora {lora_name} found needing refresh. Initiating metadata download...") - self._add_lora_ids_to_download_queue([lora_details["id"]], lora_details.get("version_id", -1)) + self._add_lora_ids_to_download_queue([lora_details["id"]], self.find_latest_version(lora_details)) return False return True @@ -763,35 +988,65 @@ def wait_for_adhoc_reset(self, timeout=15): def stop_all(self): self._stop_all_threads = True - def _touch_lora(self, lora_name): + def _touch_lora(self, lora_name: str | int, is_version: bool = False): """Updates the "last_used" key in a lora entry to current UTC time""" - lora_name = lora_name.lower() - lora = self.model_reference.get(lora_name) + lora = self.get_model_reference_info(lora_name, is_version) if not lora: logger.warning(f"Could not find lora {lora_name} to touch") return - with self._mutex: - lora["last_used"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") - self.save_cached_reference_to_disk() - + if not is_version: + version = self.find_latest_version(lora) + else: + version = self.ensure_is_version(lora_name) + if version is None: + return + lora["versions"][version]["last_used"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + self.save_cached_reference_to_disk() # logger.debug(f"Touched lora {lora_name}") - def get_lora_last_use(self, lora_name): + def find_latest_version(self, lora) -> str | None: + all_versions = list(lora.get("versions", {}).keys()) + if len(all_versions) > 0: + all_versions.sort(reverse=True) + return self.ensure_is_version(all_versions[0]) + return None + + def get_latest_version(self, lora) -> dict | None: + version_id = self.find_latest_version(lora) + if version_id is None: + return None + return lora["versions"][version_id] + + def get_lora_last_use(self, lora_name, is_version: bool = False): """Returns a dateimte object based on the "last_used" key in a lora entry""" - lora = self.get_model_reference_info(lora_name) + lora = self.get_model_reference_info(lora_name, is_version) if not lora: logger.warning(f"Could not find lora {lora_name} to get last use") return None - return datetime.strptime(lora["last_used"], "%Y-%m-%d %H:%M:%S") + if is_version: + version = self.ensure_is_version(lora_name) + else: + version = self.find_latest_version(lora) + if version is None: + return None + return datetime.strptime(lora["versions"][version]["last_used"], "%Y-%m-%d %H:%M:%S") - def fetch_adhoc_lora(self, lora_name, timeout=45): + def fetch_adhoc_lora(self, lora_name, timeout=45, is_version: bool = False): + """Checks if a LoRa is available + If not, immediately downloads it + Finally, returns the lora name""" if isinstance(lora_name, str): if lora_name in self.model_reference: self._touch_lora(lora_name) return lora_name - + if is_version and not isinstance(lora_name, int) and not lora_name.isdigit(): + logger.debug("Lora version requested, but lora name is not an integer") + return None if isinstance(lora_name, int) or lora_name.isdigit(): - url = f"https://civitai.com/api/v1/models/{lora_name}" + if is_version: + url = f"https://civitai.com/api/v1/model-versions/{lora_name}" + else: + url = f"https://civitai.com/api/v1/models/{lora_name}" else: url = f"{self.LORA_API}&nsfw={str(self.nsfw).lower()}&query={lora_name}" data = self._get_json(url) @@ -811,20 +1066,31 @@ def fetch_adhoc_lora(self, lora_name, timeout=45): # We double-check that somehow our search missed it but CivitAI searches differently and found it fuzzy_find = self.fuzzy_find_lora_key(lora["id"]) if fuzzy_find: - logger.debug(f"Found lora with ID: {fuzzy_find}") - return fuzzy_find + # For versions of loras, we check in the lora versions + # to see if we've downloaded this specific version before + if is_version and lora_name in self.model_reference[fuzzy_find]["versions"]: + logger.debug(f"Found lora version with ID: {fuzzy_find}") + self._touch_lora(lora_name, True) + return fuzzy_find + if not is_version: + logger.debug(f"Found lora with ID: {fuzzy_find}") + self._touch_lora(lora_name, False) + return fuzzy_find self._download_lora(lora) - # We need to wait a bit to make sure the threads pick up the download time.sleep(self.THREAD_WAIT_TIME) self.wait_for_downloads(timeout) - lora["name"] = lora["name"].lower() - self._touch_lora(lora["name"]) + version = self.find_latest_version(lora) + if is_version: + version = lora_name + if version is None: + return None + self._touch_lora(version, True) return lora["name"] - def do_baselines_match(self, lora_name, model_details): + def do_baselines_match(self, lora_name, model_details, is_version: bool = False): self._check_for_refresh(lora_name) - lora_details = self.get_model_reference_info(lora_name) + lora_details = self.get_model_reference_info(lora_name, is_version) return True # FIXME: Disabled for now if not lora_details: logger.warning(f"Could not find lora {lora_name} to check baselines") @@ -839,9 +1105,13 @@ def do_baselines_match(self, lora_name, model_details): def is_model_available(self, model_name): if model_name in self.model_reference: return True - found_model_name = self.fuzzy_find_lora_key(model_name) if found_model_name is None: return False - self._touch_lora(found_model_name.lower()) + self._touch_lora(found_model_name) return True + + def is_lora_available(self, lora_name: str, is_version: bool = False): + if is_version: + return self.ensure_is_version(lora_name) in self._index_version_ids + return self.is_model_available(lora_name) diff --git a/hordelib/model_manager/safety_checker.py b/hordelib/model_manager/safety_checker.py index 0aa5bbdb..387c163b 100644 --- a/hordelib/model_manager/safety_checker.py +++ b/hordelib/model_manager/safety_checker.py @@ -3,8 +3,13 @@ class SafetyCheckerModelManager(BaseModelManager): # FIXME # TODO? - def __init__(self, download_reference=False): + def __init__( + self, + download_reference=False, + **kwargs, + ): super().__init__( model_category_name=MODEL_CATEGORY_NAMES.safety_checker, download_reference=download_reference, + **kwargs, ) diff --git a/hordelib/model_manager/ti.py b/hordelib/model_manager/ti.py index 55039727..6600a096 100644 --- a/hordelib/model_manager/ti.py +++ b/hordelib/model_manager/ti.py @@ -6,8 +6,10 @@ import threading import time from collections import deque +from contextlib import nullcontext from datetime import datetime, timedelta from enum import auto +from multiprocessing.synchronize import Lock as multiprocessing_lock import requests from fuzzywuzzy import fuzz @@ -45,27 +47,32 @@ class TextualInversionModelManager(BaseModelManager): THREAD_WAIT_TIME: int = 2 """The time to wait between checking the download queue in seconds""" + _file_lock: multiprocessing_lock | nullcontext + def __init__( self, download_reference=False, + multiprocessing_lock: multiprocessing_lock | None = None, + **kwargs, ): self._data = None self._next_page_url = None + self._file_lock = multiprocessing_lock or nullcontext() self._mutex = threading.Lock() self._file_count = 0 - self._download_threads = {} - self._download_queue = deque() + self._download_threads = {} # type: ignore # FIXME: add type + self._download_queue = deque() # type: ignore # FIXME: add type self._thread = None self.stop_downloading = True # Not yet handled, as we need a global reference to search through. - self._previous_model_reference = {} - self._adhoc_tis = set() + self._previous_model_reference = {} # type: ignore # FIXME: add type + self._adhoc_tis = set() # type: ignore # FIXME: add type # If false, this MM will only download SFW tis self.nsfw = True self._adhoc_reset_thread = None self._stop_all_threads = False - self._index_ids = {} - self._index_orig_names = {} + self._index_ids = {} # type: ignore # FIXME: add type + self._index_orig_names = {} # type: ignore # FIXME: add type self.total_retries_attempted = 0 models_db_path = LEGACY_REFERENCE_FOLDER.joinpath("ti.json").resolve() @@ -319,7 +326,7 @@ def _download_thread(self, thread_number): ) else: logger.debug(f"Already have Textual Inversion: {ti['filename']}") - with self._mutex: + with self._mutex, self._file_lock: # We store as lower to allow case-insensitive search ti["last_checked"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") self._add_ti_to_reference(ti) @@ -349,7 +356,7 @@ def _download_thread(self, thread_number): # Shout about it logger.info(f"Downloaded Textual Inversion: {ti['filename']} ({ti['size_kb']} KB)") # Maybe we're done - with self._mutex: + with self._mutex, self._file_lock: # We store as lower to allow case-insensitive search ti["last_used"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") ti["last_checked"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S") @@ -381,7 +388,7 @@ def _download_thread(self, thread_number): time.sleep(self.RETRY_DELAY) def _download_ti(self, ti): - with self._mutex: + with self._mutex, self._file_lock: # Start download threads if they aren't already started while len(self._download_threads) < self.MAX_DOWNLOAD_THREADS: thread_iter = len(self._download_threads) diff --git a/hordelib/shared_model_manager.py b/hordelib/shared_model_manager.py index 87e26fd9..5b0faabc 100644 --- a/hordelib/shared_model_manager.py +++ b/hordelib/shared_model_manager.py @@ -1,6 +1,7 @@ # shared_model_manager.py import builtins from collections.abc import Iterable +from multiprocessing.synchronize import Lock as multiprocessing_lock from pathlib import Path import torch @@ -67,6 +68,8 @@ def __new__(cls, do_not_load_model_mangers: bool = False): def load_model_managers( cls, managers_to_load: Iterable[str | MODEL_CATEGORY_NAMES | type[BaseModelManager]] = ALL_MODEL_MANAGER_TYPES, + *, + multiprocessing_lock: multiprocessing_lock | None = None, ): if cls.manager is None: cls.manager = ModelManager() @@ -80,7 +83,10 @@ def load_model_managers( logger.debug(f"Legacy reference downloaded: {reference}") do_migrations() - cls.manager.init_model_managers(managers_to_load) + cls.manager.init_model_managers( + managers_to_load, + multiprocessing_lock=multiprocessing_lock, + ) @classmethod def unload_model_managers( diff --git a/hordelib/utils/sanitizer.py b/hordelib/utils/sanitizer.py index 4e680365..64ec513d 100644 --- a/hordelib/utils/sanitizer.py +++ b/hordelib/utils/sanitizer.py @@ -19,7 +19,8 @@ def sanitise_filename(filename): # First remove exotic unicode characters filename = unidecode(filename) # Now exploit characters - valid_chars = f"-_.() {string.ascii_letters}{string.digits}" + valid_chars = f"-_.(){string.ascii_letters}{string.digits}" + filename.replace(" ", "_") valid_name = "".join(c for c in filename if c in valid_chars) return valid_name.strip() diff --git a/images_expected/lora_version_adhoc.png b/images_expected/lora_version_adhoc.png new file mode 100644 index 0000000000000000000000000000000000000000..c6cbe9d7d0daaa122695b225d9d3f05c6f5aae3d GIT binary patch literal 366589 zcmV(yKYsKFGaOQKT%$s?0uF9+`*34oRS!9uHifyY~-D=zIwqU^q3>!wn0wfu* z1`2@F+XA}AC}1XTh6 z5TH;6kt$S`2>vWUP=x|uzmdqEWFi6p27`zIA_hQ2L?HW`>>g@=V3(QwZ)PtvFLHb? 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z=jjTpU>~4G=@hFc3}YrpYwtyg$*hk0BCX0pQ%Ge*T?AusBxHNa%HPyD&f4DMPm&b{8lL0A12mCo^VV@IGT*<@ToQVkKrQioYC8tyAIsd1Kp@sc%aM3+Kcpz8Ihs zyKTm>?E8~>TdDhtGY|;cN}ku7mbS2HWR=yDR98zg{~xoMAug!aIE(-Q002ovPDHLk FV1oS3lr{hW literal 0 HcmV?d00001 diff --git a/requirements.txt b/requirements.txt index fa18c58f..54a44160 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,6 @@ # Add this in for tox, comment out for build --extra-index-url https://download.pytorch.org/whl/cu121 -horde_sdk>=0.7.22 +horde_sdk>=0.7.25 horde_model_reference>=0.5.2 pydantic torch>=2.1.0 diff --git a/tests/model_managers/test_mm_lora.py b/tests/model_managers/test_mm_lora.py index ce78526e..a2bfa6b0 100644 --- a/tests/model_managers/test_mm_lora.py +++ b/tests/model_managers/test_mm_lora.py @@ -44,10 +44,10 @@ def test_fuzzy_search(self): assert lora_model_manager.fuzzy_find_lora_key("Glowing Robots") is None assert lora_model_manager.fuzzy_find_lora_key("GlowingRobots") is None assert lora_model_manager.fuzzy_find_lora_key("GlowingRobotsAI") is None - assert lora_model_manager.fuzzy_find_lora_key("blindbox/大概是盲盒") == "blindbox/da gai shi mang he" assert lora_model_manager.fuzzy_find_lora_key(25995) == "blindbox/da gai shi mang he" assert lora_model_manager.fuzzy_find_lora_key("25995") == "blindbox/da gai shi mang he" assert lora_model_manager.fuzzy_find_lora_key("大概是盲盒") == "blindbox/da gai shi mang he" + assert lora_model_manager.fuzzy_find_lora_key("blindbox/大概是盲盒") == "blindbox/da gai shi mang he" lora_model_manager.stop_all() def test_lora_search(self): @@ -57,9 +57,9 @@ def test_lora_search(self): ) lora_model_manager.download_default_loras() lora_model_manager.wait_for_downloads(600) - assert lora_model_manager.get_lora_name("GlowingRunesAI") == "GlowingRunesAI" - assert lora_model_manager.get_lora_name("GlowingRunes") == "GlowingRunesAI" - assert lora_model_manager.get_lora_name("Glowing Runes") == "GlowingRunesAI" + assert lora_model_manager.get_lora_name("GlowingRunesAI") == "glowingrunesai" + assert lora_model_manager.get_lora_name("GlowingRunes") == "glowingrunesai" + assert lora_model_manager.get_lora_name("Glowing Runes") == "glowingrunesai" assert len(lora_model_manager.get_lora_triggers("GlowingRunesAI")) > 1 # We can't rely on triggers not changing assert lora_model_manager.find_lora_trigger("GlowingRunesAI", "blue") is not None @@ -93,14 +93,33 @@ def test_fetch_adhoc_lora(self): lora_model_manager.download_default_loras() lora_model_manager.wait_for_downloads(600) lora_model_manager.wait_for_adhoc_reset(15) + lora_model_manager.ensure_lora_deleted(22591) lora_key = lora_model_manager.fetch_adhoc_lora("22591") - assert lora_key == "GAG - RPG Potions | LoRa xl".lower() - assert lora_model_manager.is_model_available("GAG") + assert lora_key == "gag - rpg potions | lora xl" assert lora_model_manager.is_model_available("22591") + assert lora_model_manager.is_model_available("GAG - rpg potions | LoRa xl") assert lora_model_manager.get_lora_name("22591") == "GAG - RPG Potions | LoRa xl".lower() lora_model_manager.stop_all() + def test_fetch_specific_lora_version(self): + lora_model_manager = LoraModelManager( + download_wait=False, + allowed_adhoc_lora_storage=1024, + ) + lora_model_manager.download_default_loras() + lora_model_manager.wait_for_downloads(600) + lora_model_manager.wait_for_adhoc_reset(15) + + lora_model_manager.ensure_lora_deleted(22591) + lora_key = lora_model_manager.fetch_adhoc_lora("26975", is_version=True) + assert lora_key == "gag - rpg potions | lora xl" + assert lora_model_manager.is_model_available("22591") + assert isinstance(lora_model_manager.get_model_reference_info("26975", is_version=True), dict) + assert lora_model_manager.get_lora_name("22591") == "GAG - RPG Potions | lora xl".lower() + lora_model_manager.fetch_adhoc_lora("22591") + lora_model_manager.stop_all() + def test_reject_adhoc_nsfw_lora(self): lora_model_manager = LoraModelManager( download_wait=False, diff --git a/tests/test_horde_lora.py b/tests/test_horde_lora.py index cb91a427..e431469d 100644 --- a/tests/test_horde_lora.py +++ b/tests/test_horde_lora.py @@ -69,7 +69,7 @@ def test_text_to_image_lora_red( last_use = shared_model_manager.manager.lora.get_lora_last_use("GlowingRunesAI") assert last_use if not (last_use > datetime.now() - timedelta(minutes=1)): - pytest.skip("Lora last use not updated") + raise Exception("Last use of lora was not updated") def test_text_to_image_lora_blue( self, @@ -695,6 +695,48 @@ def test_download_and_use_adhoc_lora( pil_image, ) + def test_download_and_use_specific_version_lora( + self, + shared_model_manager: type[SharedModelManager], + hordelib_instance: HordeLib, + stable_diffusion_model_name_for_testing: str, + ): + assert shared_model_manager.manager.lora + + lora_name = "238435" + shared_model_manager.manager.lora.ensure_lora_deleted("180780") + data = { + "sampler_name": "k_euler", + "cfg_scale": 8.0, + "denoising_strength": 1.0, + "seed": 1312, + "height": 512, + "width": 512, + "karras": False, + "tiling": False, + "hires_fix": False, + "clip_skip": 1, + "control_type": None, + "image_is_control": False, + "return_control_map": False, + "prompt": "cat made of crystalz in a mythical forest, masterpiece, intricate details, wide shot", + "loras": [{"name": lora_name, "model": 1.0, "clip": 1.0, "inject_trigger": "any", "is_version": True}], + "ddim_steps": 20, + "n_iter": 1, + "model": stable_diffusion_model_name_for_testing, + } + + pil_image = hordelib_instance.basic_inference_single_image(data).image + assert pil_image is not None + assert isinstance(pil_image, Image.Image) + + img_filename = "lora_version_adhoc.png" + pil_image.save(f"images/{img_filename}", quality=100) + assert check_single_lora_image_similarity( + f"images_expected/{img_filename}", + pil_image, + ) + def test_for_probability_tensor_runtime_error( self, hordelib_instance: HordeLib, diff --git a/tox.ini b/tox.ini index 1299d5c9..13e1d49c 100644 --- a/tox.ini +++ b/tox.ini @@ -41,7 +41,7 @@ commands = coverage erase [testenv:pre-commit] skip_install = true deps = pre-commit -commands = pre-commit run +commands = pre-commit run --all-files --show-diff-on-failure [testenv:test-build-helper] description = test build_helper.py under the same conditions as the github release workflow @@ -75,9 +75,6 @@ passenv = HORDELIB_TESTING AIWORKER_CACHE_HOME TESTS_ONGOING -setenv = - HORDE_MODEL_REFERENCE_GITHUB_BRANCH=SDXL # FIXME: Remove this once the branch is merged - deps = pytest>=7